Method for conducting intelligent evaluation on student operation in training system

Abstract

The invention provides a method for conducting intelligent evaluation on a student operation in a training system. The evaluation modes for training students include the running equipment operation evaluation mode, the power grid operation index evaluation mode and the accident pre-arranged planning analysis and evaluation mode. According to the running equipment operation index evaluation mode, whether equipment operated by a student for enabling the system to run meets electrical equipment operation normalization or not and whether the operation of the student is a mistaken operation or not are evaluated. According to the power grid operation index evaluation mode, whether the safety, reliability and economy of power grid operation meet the requiring level set by a teaching plan or not is evaluated. According to the accident pre-arranged planning analysis and evaluation mode, a power grid accident and accident handling mode in the teaching plan are made in advance; after the training is ended, the student physical fault handling mode and the accident pre-arranged planning making handling mode are analyzed and compared, and therefore pre-arranged planning analysis and evaluation for a power grid accident are achieved. The method for conducting intelligent evaluation on the student operation is high in practicability, has quite high flexibility and feasibility, and can effectively improve the evaluation level of the training system.

Description

technical field [0001] The invention relates to the technical field of electric power system automatic dispatching, in particular to a method for intelligently evaluating trainees' operation in a training system. Background technique [0002] With the improvement of users' requirements for dispatcher training and assessment, manual assessment of trainees based solely on experienced dispatchers can no longer meet the current needs. During the training process, the trainees operate frequently, and the trainer cannot track in real time and judge the correctness and rationality of the trainee's operation in a timely manner; the trainer cannot judge whether the trainee's solution to the fault is the best in a very short time It is impossible to give a precise evaluation of the trainees' handling of failures. [0003] In order to solve the above problems, there have been researches and applications on evaluation methods for training simulation systems. The basic idea is to combi...

AI Technical Summary

Problems solved by technology

[0004] However, the assessment and evaluation of trainees' training is still limited to the premise of artificial experience, let alone the overall assessment of trainees' ability to control the power grid

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